Predictive Quality: A future with less rejects and rework
Manufacturing companies often struggle to keep their customers 100% satisfied: Delayed deliveries or issues with quality are not always easy to put a stop to. At the same time, the increasing complexity in manufacturing, a wealth of variants and rising deadline pressure are raising the costs of manual quality analysis and rework.
There is a way, with the help of data science, to reduce or automate the manual time-consuming work caused by rework and waste in manufacturing: predictive quality. This method describes data-driven, automated defect detection and quality analysis, which can be used in a variety of processes.